Skip to main content
HomePodcastsCareer Services

[DataFramed Careers Series #4]: Acing the Data Science Interview

Today marks the last episode of our four-part DataFramed Careers Series on breaking into a data career. Today’s guest, Jay Feng, CEO of Interview Query, joins the show to break down all the most important things you need to know about interviewin

Jun 2022

Photo of Jay Feng
Guest
Jay Feng

Jay is the CEO of Interview Query, a remote data science interview preparation platform whose mission is to help every data scientist land a job. In a former life, he used to be a data scientist for 5+ years at startups like Jobr and Nextdoor.


Photo of Adel Nehme
Host
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Key Takeaways

1

There are three key areas of focus in data science interviews: business acumen, communication/data storytelling ability, and technical intuition.

2

Every interview is also an opportunity to practice and improve your soft skills 

3

Understanding your own market value and confident communication skills are the key to successful salary negotiations

Key Quotes

In your first 90 days, go around and meet every single person that you think is important and then ask them who else you should meet. Then just keep on meeting people. Then try to add some business value extremely quickly. This is not very difficult because there are a lot of small things that people overlook and just don't do, like documentation. Documenting something that you find out isn't documented in your onboarding can provide huge value right away.

The key to successful salary negotiation is understanding your own market value. Generally, companies will hire you for the price that it costs to replace you. That's the brutal nature of hiring in general, and understanding your market value is the key to taking that to your advantage.

Topics
Related

Mastering API Design: Essential Strategies for Developing High-Performance APIs

Discover the art of API design in our comprehensive guide. Learn how to create APIs like Google Maps API with best practices in defining methods, data formats, and integrating security features.

Javeria Rahim

11 min

Data Science in Finance: Unlocking New Potentials in Financial Markets

Discover the role of data science in finance, shaping tomorrow's financial strategies. Gain insights into advanced analytics and investment trends.

Shawn Plummer

9 min

5 Common Data Science Challenges and Effective Solutions

Emerging technologies are changing the data science world, bringing new data science challenges to businesses. Here are 5 data science challenges and solutions.
DataCamp Team's photo

DataCamp Team

8 min

The 12 Best Azure Certifications For 2024: Empower Your Data Science Career

Discover the comprehensive 2024 guide on Azure Certification for data practitioners. Delve into the essentials of Azure certification levels, preparation strategies with DataCamp, and their impact on your data science career.
Matt Crabtree's photo

Matt Crabtree

12 min

A Data Science Roadmap for 2024

Do you want to start or grow in the field of data science? This data science roadmap helps you understand and get started in the data science landscape.
Mark Graus's photo

Mark Graus

10 min

Introduction to DynamoDB: Mastering NoSQL Database with Node.js | A Beginner's Tutorial

Learn to master DynamoDB with Node.js in this beginner's guide. Explore table creation, CRUD operations, and scalability in AWS's NoSQL database.
Gary Alway's photo

Gary Alway

11 min

See MoreSee More